| Extreme-scale task-based cholesky factorization toward climate and weather prediction applications Q Cao, Y Pei, K Akbudak, A Mikhalev, G Bosilca, H Ltaief, D Keyes, ... Proceedings of the Platform for Advanced Scientific Computing Conference, 1-11, 2020 | 48 | 2020 |
| Accelerating geostatistical modeling and prediction with mixed-precision computations: A high-productivity approach with parsec S Abdulah, Q Cao, Y Pei, G Bosilca, J Dongarra, MG Genton, DE Keyes, ... IEEE Transactions on Parallel and Distributed Systems 33 (4), 964-976, 2021 | 35 | 2021 |
| Performance analysis of tile low-rank cholesky factorization using parsec instrumentation tools Q Cao, Y Pei, T Herault, K Akbudak, A Mikhalev, G Bosilca, H Ltaief, ... 2019 IEEE/ACM International Workshop on Programming and Performance …, 2019 | 24 | 2019 |
| HAN: A hierarchical autotuned collective communication framework X Luo, W Wu, G Bosilca, Y Pei, Q Cao, T Patinyasakdikul, D Zhong, ... 2020 IEEE International Conference on Cluster Computing (CLUSTER), 23-34, 2020 | 23 | 2020 |
| Reshaping geostatistical modeling and prediction for extreme-scale environmental applications Q Cao, S Abdulah, R Alomairy, Y Pei, P Nag, G Bosilca, J Dongarra, ... SC22: International Conference for High Performance Computing, Networking …, 2022 | 21 | 2022 |
| Impact of biases in gridded weather datasets on biomass estimates of short rotation woody cropping systems V Bandaru, Y Pei, Q Hart, BM Jenkins Agricultural and Forest Meteorology 233, 71-79, 2017 | 20 | 2017 |
| Leveraging parsec runtime support to tackle challenging 3d data-sparse matrix problems Q Cao, Y Pei, K Akbudak, G Bosilca, H Ltaief, D Keyes, J Dongarra 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021 | 13 | 2021 |
| Evaluation of programming models to address load imbalance on distributed multi-core CPUs: A case study with block low-rank factorization Y Pei, G Bosilca, I Yamazaki, A Ida, J Dongarra 2019 IEEE/ACM Parallel Applications Workshop, Alternatives To MPI (PAW-ATM …, 2019 | 11 | 2019 |
| A framework to exploit data sparsity in tile low-rank cholesky factorization Q Cao, R Alomairy, Y Pei, G Bosilca, H Ltaief, D Keyes, J Dongarra 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022 | 9 | 2022 |
| A web-based visual analytic framework for understanding large-scale environmental models: A use case for the community land model Y Xu, D Wang, T Janjusic, W Wu, Y Pei, Z Yao Procedia Computer Science 108, 1731-1740, 2017 | 8 | 2017 |
| Autotuning batch Cholesky factorization in CUDA with interleaved layout of matrices M Gates, J Kurzak, P Luszczek, Y Pei, J Dongarra 2017 IEEE International Parallel and Distributed Processing Symposium …, 2017 | 7 | 2017 |
| Virtual observation system for earth system model: An application to ACME land model simulations D Wang, F Yuan, B Hernandez, Y Pei, C Yao, C Steed International Journal of Advanced Computer Science and Applications 8 (2), 2017 | 6 | 2017 |
| Compiler technologies for understanding legacy scientific code: A case study on an ACME land module D Wang, Y Pei, O Hernandez, W Wu, Z Yao, Y Kim, M Wolfe, R Kitchen Procedia Computer Science 108, 2418-2422, 2017 | 5 | 2017 |
| Sequential Task Flow Runtime Model Improvements and Limitations Y Pei, G Bosilca, J Dongarra 2022 IEEE/ACM International Workshop on Runtime and Operating Systems for …, 2022 | 2 | 2022 |
| Communication avoiding 2D stencil implementations over parsec task-based runtime Y Pei, Q Cao, G Bosilca, P Luszczek, V Eijkhout, J Dongarra 2020 IEEE International Parallel and Distributed Processing Symposium …, 2020 | 2 | 2020 |
| Evaluation of Distributed Programming Models and Extensions to Task-based Runtime Systems Y Pei | | 2022 |
| In situ Data Visualization of ACME Land Model Simulations S Atchley, D Wang, BE Smith, CA Steed, F Yuan, B Hernandez Arreguin, ... Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2016 | | 2016 |
| In situ Data Visualization of ACME Land Model Simulations Y Pei, B Hernandez, D Wang, B Smith, S Atchley, F Yuan, C Steed | | 2016 |
Jack DongarraUniversity of Tennessee; Oak Ridge National Laboratory; University of Manchester在 icl.utk.edu 的电子邮件经过验证
